Convective Capital raises an $85 million fund to build disaster resilience

Here is a scenario that should concern every enterprise architect shipping autonomous AI systems right now: An observability agent is running in production. Its job is to detect infrastructure anomalies and trigger the appropriate response. Late one night, it flags an elevated anomaly score across a production cluster, 0.87, above its defined threshold of 0.75. The…

The involvement of AMD, Arm, and the venture arm of Qualcomm is about more than money. It’s also about tapping into the variety of compute platforms that Wayve’s self-driving system will need to use. Source: techcrunch.com Read Full Story

Data drift happens when the statistical properties of a machine learning (ML) model’s input data change over time, eventually rendering its predictions less accurate. Cybersecurity professionals who rely on ML for tasks like malware detection and network threat analysis find that undetected data drift can create vulnerabilities. A model trained on old attack patterns may…